Job DescriptionJob Description
Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes.
As an Applied AI / ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI–powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility depending on the candidate's experience.
Job Responsibilities
1. Build robust Data Science capabilities that can be scaled across multiple business use cases.
2. Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems.
3. Research and analyze data sets using a variety of statistical and machine learning techniques.
4. Communicate AI capabilities and results to both technical and non-technical audiences.
5. Document approaches taken, techniques used, and processes followed to comply with industry regulation.
6. Collaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutions.
Required Qualifications, Capabilities, and Skills
* Hands-on experience in an ML engineering role.
* PhD in a quantitative discipline, e.g., Computer Science, Mathematics, Statistics.
* Track record of developing and deploying business-critical machine learning models.
* Broad knowledge of MLOps tooling – for versioning, reproducibility, observability, etc.
* Experience monitoring, maintaining, and enhancing existing models over time.
* Specialism in NLP or Computer Vision.
* Solid understanding of statistics, optimization, and ML theory. Familiarity with deep learning architectures (transformers, CNNs, autoencoders, etc.).
* Extensive experience with pytorch, numpy, pandas.
* Knowledge of open source datasets and benchmarks in NLP / Computer Vision.
* Hands-on experience implementing distributed/multi-threaded/scalable applications (e.g., Ray, Horovod, DeepSpeed).
* Ability to communicate technical information clearly to all levels and build trust with stakeholders.
Additional Qualifications
* Experience designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray).
* Experience with big data technologies (e.g., Spark, Hadoop).
* Constructed batch and streaming microservices exposed as REST/gRPC endpoints.
* Familiarity with GraphQL.
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals, and institutional investors. Our approach is to serve clients with integrity and excellence, building trusted, long-term partnerships to help achieve their objectives.
We value our diverse talents and are an equal opportunity employer. We do not discriminate based on protected attributes and provide reasonable accommodations for applicants and employees.
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services, and payments, serving clients in over 100 countries. We provide strategic advice, raise capital, manage risk, and extend liquidity worldwide.
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